Research on optimization of basic rail top bending prediction model
Abstract Since the basic rail of the switch needs to have a certain bending angle when the train changes direction, top bending is an important link in the production process of the basic rail. The three-point pressure top bending method is simple, flexible and widely used. In this study, the tradit...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-04-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-024-60583-9 |
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| _version_ | 1850162534817988608 |
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| author | Chunjiang Liu Zhikui Dong Long Ma Xinyu Hou Nanbing Qiao |
| author_facet | Chunjiang Liu Zhikui Dong Long Ma Xinyu Hou Nanbing Qiao |
| author_sort | Chunjiang Liu |
| collection | DOAJ |
| description | Abstract Since the basic rail of the switch needs to have a certain bending angle when the train changes direction, top bending is an important link in the production process of the basic rail. The three-point pressure top bending method is simple, flexible and widely used. In this study, the traditional three-point pressure bending is optimized, the influence of the pick width in the model is considered, a corresponding rebound model is established, and the model is applied to the pressure bending process of the basic rail. The bilinear strengthening model of the material was used to construct the bending moment expressions at different positions during the top bending process, and the relationship between the load and bending deflection in the elastic stage and elastic-plastic stage was obtained. The final top bending prediction model was obtained by combining the load-deflection model in the bending stage and the rebound stage. The correctness of the theoretical mathematical model was verified by establishing finite element simulations, and the theoretical calculation results were compared with the experimental results. The results showed that the top bend prediction optimization model established in this study had high feasibility and met the machining accuracy requirements. |
| format | Article |
| id | doaj-art-5e47867d4dc940509ae5b5ce637ce8ce |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2024-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-5e47867d4dc940509ae5b5ce637ce8ce2025-08-20T02:22:33ZengNature PortfolioScientific Reports2045-23222024-04-0114111710.1038/s41598-024-60583-9Research on optimization of basic rail top bending prediction modelChunjiang Liu0Zhikui Dong1Long Ma2Xinyu Hou3Nanbing Qiao4School of Mechanical Engineering, Yanshan UniversitySchool of Mechanical Engineering, Yanshan UniversitySchool of Mechanical Engineering, Yanshan UniversitySchool of Mechanical Engineering, Yanshan UniversitySchool of Mechanical Engineering, Yanshan UniversityAbstract Since the basic rail of the switch needs to have a certain bending angle when the train changes direction, top bending is an important link in the production process of the basic rail. The three-point pressure top bending method is simple, flexible and widely used. In this study, the traditional three-point pressure bending is optimized, the influence of the pick width in the model is considered, a corresponding rebound model is established, and the model is applied to the pressure bending process of the basic rail. The bilinear strengthening model of the material was used to construct the bending moment expressions at different positions during the top bending process, and the relationship between the load and bending deflection in the elastic stage and elastic-plastic stage was obtained. The final top bending prediction model was obtained by combining the load-deflection model in the bending stage and the rebound stage. The correctness of the theoretical mathematical model was verified by establishing finite element simulations, and the theoretical calculation results were compared with the experimental results. The results showed that the top bend prediction optimization model established in this study had high feasibility and met the machining accuracy requirements.https://doi.org/10.1038/s41598-024-60583-9 |
| spellingShingle | Chunjiang Liu Zhikui Dong Long Ma Xinyu Hou Nanbing Qiao Research on optimization of basic rail top bending prediction model Scientific Reports |
| title | Research on optimization of basic rail top bending prediction model |
| title_full | Research on optimization of basic rail top bending prediction model |
| title_fullStr | Research on optimization of basic rail top bending prediction model |
| title_full_unstemmed | Research on optimization of basic rail top bending prediction model |
| title_short | Research on optimization of basic rail top bending prediction model |
| title_sort | research on optimization of basic rail top bending prediction model |
| url | https://doi.org/10.1038/s41598-024-60583-9 |
| work_keys_str_mv | AT chunjiangliu researchonoptimizationofbasicrailtopbendingpredictionmodel AT zhikuidong researchonoptimizationofbasicrailtopbendingpredictionmodel AT longma researchonoptimizationofbasicrailtopbendingpredictionmodel AT xinyuhou researchonoptimizationofbasicrailtopbendingpredictionmodel AT nanbingqiao researchonoptimizationofbasicrailtopbendingpredictionmodel |